Senior Analyst (Client Insights)
Extend
- United States
- Senior Level
- 4+ years
- Posted
Skills
Required
- business analytics
- business intelligence
- Tableau
- Snowflake
- ecommerce
- SQL
- querying large datasets
- AI
Preferred
- narratives
- justify expansion
- support renewal conversations
Join our Client Insights team as a Senior Analyst, where you'll play a key role in using data to protect and empower our merchant partners. This high-impact role requires strong analytical skills, experience in business analytics or business intelligence, and a passion for turning data into action. You'll work cross-functionally to drive business and product improvement, interact directly with merchants, and analyze product data to drive product improvements.
This is a high-impact role for someone who's curious, detail-oriented, and excited about turning data into action
Responsibilities
- Serve as the analytical bridge between Sales and prospective/existing merchants; translate data and analysis into business cases, pricing models, and compelling financial narratives.
- Partner with Merchant Success to build analyses that demonstrate ROI, justify expansion, and support renewal conversations.
- Analyze product data and work with the product and engineering teams to drive product improvements and help build the product roadmap.
Requirements
- An exceptional communicator with the ability to talk to merchants about complex analysis and how to use the analysis to drive value and decision making
- Familiarity with Tableau
- Experience working cross-functionally to drive business and product improvement
Experience with Snowflake
- 4-7 years of experience in a business analytics, business intelligence, or Technical Account Manager role
- Understanding of consumer brands, ecommerce, and important metrics and benchmarks in the industry; ideally you have used data and analysis to drive business decisions for ecommerce companies / consumer brands
- Experience with SQL — you're comfortable querying large datasets, writing clean, efficient code, and understanding optimal data modeling
- A self-starter mindset: you ask good questions, dig into problems independently, and know when to loop others in
- Experience in one or more of the following brand verticals is a plus: Jewelry, Furniture / Home Improvement, Consumer Electronics, Auto Parts, Sporting Goods, or Eyewear
- Strong communication skills — you can explain data clearly to both technical and non-technical audiences
- Understanding of how to use AI to drive process improvement and efficiency across the organization
Pay
USD 124,000 - 145,000
